To be used with tools like GoBuster & DirBuster but these lists are specifically tailored and designed for scanning phishing <>< landing pages and other malicious or sketch af financial/crypto fraud websites.

A Directory Bruteforcing Tool That Makes Your Life Easier!

An algorithm for automatically solving Soduko puzzles

A brute_force based Cipher-Dicipher written in Java Language with UI/UX

Password Cracker program coded in C++ language by applying brute force algorithm and parallelizing it using MPI and OpenMP

Algorithms to solve small mazes with prolog

Python scripts for connecting to cyberoam networks

Solves puzzles of various sizes

Magic square finder (brute-force algorithm)

My bot's source code for CodinGame's Fall Challenge 2020

Brute force and combinaisons

Solving the well known 8 Puzzle Problem using Brute Force Search Algorithm

Autoencoder dimensionality reduction, EMD-Manhattan metrics comparison and classifier based clustering on MNIST dataset

This app built by modularization of controller, data, algorithm and UI. An 8 Puzzle Solver using brute force search algorithm written in Python and used PyQt5 library for UI.

Created a search engine with functionalities such as counting the frequency of words using Boyer Moore, Brute Force Algorithm, Web Page Ranking using Quicksort Algorithm, spell checking and suggestion using Edit Distance algorithm and Java, HTML to TEXT converter using Jsoup converter

RobotFindPath Project

This repository houses two Python scripts for string matching algorithms - 'naive_matching' and 'booyer-moore-horspool.' These scripts are designed to efficiently search for occurrences of one string (the pattern) within another (the text).

The project was about to find all the possible states of the 8-Puzzle starting from the given initial state, keeping in mind, the states should be unique (no repetitions). After that use the brute force search algorithm (BFS) to find the path to reach the goal state using the possible states of 8-puzzle.

an assets allocations application that employs brute-force methodologies to allocate assets that meet the desired return amount while maintaining the risk level threshold